These data show the value of retail cheese sales in 2026 and the change in physical volume compared to the previous year. The table rows cover all of Russia and each region, including federal districts, making it easy to compare sales across different parts of the country. Value is expressed in thousands of rubles, and the physical volume index is a percentage of the previous year in constant prices, which helps to assess the real change in the quantity of cheese sold without the influence of prices
Table of cheese sales by Russian regions for 2026: value and physical volume index
Rosstat data. Rows: 96, indicators: 2. Breakdown: Russian Federation; Central Federal District; Belgorod Oblast; Bryansk Oblast; Vladimir Oblast and others
The five largest values: Russian Federation (192.6 million), Central Federal District (71.7 million), Moscow (35.8 million), Northwestern Federal District (21 million), Moscow Oblast (14.9 million). The gap between the largest and smallest is 2,347 times. The top five account for 93.3% of the total for all items — the distribution is heavily skewed towards the top
All table numbers are series: 96
Series
Фактически продано, тыс.рублей
в % к соответствующему периоду предыдущего года (в сопоставимых ценах)
The list of 96 rows presents indicators for the whole country, federal districts, and individual constituent entities, such as Belgorod Oblast. Actual revenue in thousands of rubles can be compared with the growth or decline rates of consumption volumes. This allows for identifying regions where cheese demand grew faster and where sales volumes remained stable or decreased relative to the previous year
What is visible in these numbers
Table columns: Actually sold, thousand rubles; as a % of the corresponding period of the previous year (in comparable prices)
50 out of 50 cells contain numbers (100%); there are practically no gaps in the data
Statistics are compiled based on retail trade results in 2026. The information is regularly updated by Rosstat and is suitable for detailed consumer market analysis, assessing the capacity of regional dairy markets, and studying cheese demand dynamics across various constituent entities of the country
How it is calculated
Turnover per capita shows where the consumer is solvent and whether it is worth opening a point of sale, and where the market is already saturated
Source disclaimers: Excluding statistical information for the Donetsk People's Republic (DPR), Luhansk People's Republic (LPR), Zaporozhye and Kherson Oblasts
1) Без учета статистической информации по Донецкой Народной Республике (ДНР), Луганской Народной Республике (ЛНР), Запорожской и Херсонской областям.
Did you notice an error in this table? The parser is wrong, and most often one correction fixes many pages
Report an errorTypo is easier this way: highlight it and press
Ctrl + Enter